Machine Learning Approaches to Predict 6-Month Mortality Among Patients With Cancer.

Journal: JAMA network open
Published Date: Oct 2, 2019

Abstract

IMPORTANCE: Machine learning algorithms could identify patients with cancer who are at risk of short-term mortality. However, it is unclear how different machine learning algorithms compare and whether they could prompt clinicians to have timely conversations about treatment and end-of-life preferences.

Authors

  • Ravi B Parikh
    Division of Hematology and Oncology, Perelman School of Medicine, University of Philadelphia, Philadelphia, Pennsylvania.
  • Christopher Manz
    Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
  • Corey Chivers
    Penn Medicine, University of Pennsylvania, Philadelphia.
  • Susan Harkness Regli
    Penn Medicine, University of Pennsylvania, Philadelphia.
  • Jennifer Braun
    Abramson Cancer Center, University of Pennsylvania, Philadelphia.
  • Michael E Draugelis
    Penn Medicine, University of Pennsylvania, Philadelphia.
  • Lynn M Schuchter
    Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
  • Lawrence N Shulman
    Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
  • Amol S Navathe
    Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Mitesh S Patel
    Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
  • Nina R O'Connor
    Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia.

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